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The Scientific World Journal
Volume 2014, Article ID 914127, 12 pages
Research Article

A Hybrid Wavelet Transform Based Short-Term Wind Speed Forecasting Approach

School of Economics and Management, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China

Received 17 April 2014; Accepted 18 June 2014; Published 21 July 2014

Academic Editor: Adolfo Iulianelli

Copyright © 2014 Jujie Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Alok Agrawal, and K.S. Sandhu, “Comparative study of stochastic wind speed prediction models,” 2014 IEEE 6th India International Conference on Power Electronics (IICPE), pp. 1–6, . View at Publisher · View at Google Scholar
  • Tae Woo Joo, and Seoung Bum Kim, “Time series forecasting based on wavelet filtering,” Expert Systems with Applications, vol. 42, no. 8, pp. 3868–3874, 2015. View at Publisher · View at Google Scholar
  • Alok Agrawal, and Kanwarjit Singh Sandhu, “Most influential parametrical and data needs for realistic wind speed prediction,” Renewable Energy, vol. 94, pp. 452–465, 2016. View at Publisher · View at Google Scholar
  • Nima Amjady, and Oveis Abedinia, “Short Term Wind Power Prediction Based on Improved Kriging Interpolation, Empirical Mode Decomposition, and Closed-Loop Forecasting Engine,” Sustainability, vol. 9, no. 11, pp. 2104, 2017. View at Publisher · View at Google Scholar